Creating an SVM to play strong poker

Todd Blank, Leen Kiat Soh, Stephen Scott

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Represent a support vector machine that plays strong poker based on training on data from a proven player. This approach allows us to create an agent without having to use and implement expert rules. We tested our support vector machine by having it play against several opponents. It did not perform as well as expected, but did show some promise.

Original languageEnglish (US)
Title of host publicationProceedings of the 2004 International Conference on Machine Learning and Applications, ICMLA '04
EditorsM. Kantardzic, O. Nasraoui, M. Milanova
Pages150-155
Number of pages6
StatePublished - 2004
Event2004 International Conference on Machine Learning and Applications, ICMLA '04 - Louisville, KY, United States
Duration: Dec 16 2004Dec 18 2004

Publication series

NameProceedings of the 2004 International Conference on Machine Learning and Applications, ICMLA '04

Conference

Conference2004 International Conference on Machine Learning and Applications, ICMLA '04
CountryUnited States
CityLouisville, KY
Period12/16/0412/18/04

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Blank, T., Soh, L. K., & Scott, S. (2004). Creating an SVM to play strong poker. In M. Kantardzic, O. Nasraoui, & M. Milanova (Eds.), Proceedings of the 2004 International Conference on Machine Learning and Applications, ICMLA '04 (pp. 150-155). (Proceedings of the 2004 International Conference on Machine Learning and Applications, ICMLA '04).